The First 50 Years of Electronic Watermarking

Cox, Ingemar J.; Miller, Marion G.

doi:10.1155/s1110865702000525

Cited by 290 publications

(144 citation statements)

References 46 publications

(43 reference statements)

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“…In addition, we examine the effects of parameter publication on the scheme's fairness in Sect. 3. This leads to our proposal of two solutions in Sect.…”

Section: Introductionmentioning

confidence: 80%

“…That is to say, a sufficient level of fairness between the involved parties has to be achieved. The aspect of fairness can be seen as one of the key differences to for instance digital watermarking techniques such as those given in [3]. Although watermarking introduces additional information as well, it does not allow proofs on which party leaked information.…”

Section: Data Collection With Self-enforcing Privacymentioning

confidence: 99%

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Towards Fair Indictment for Data Collection with Self-Enforcing Privacy

Stegelmann

2010

Security and Privacy – Silver Linings in the Cloud

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Abstract. Recently, multiple cryptographic schemes for data collection with self-enforcing privacy were proposed by Golle et al. The schemes allow participants of electronic polls to prove a pollster's guilt if he distributes responses. Introducing punitive damages for such misbehaviour creates incentives for a pollster to protect the respondents' privacy. To achieve fairness, a proof must be feasible if and only if a pollster indeed leaked information. This paper analyses the scheme proposed for self-enforcing privacy with no release of data. Neither parameter publication nor cooperative indictment have been defined up to now. We show that both are of key importance to ensure fairness and describe potential attacks of a malicious pollster. After a detailed analysis, we propose two extensions preventing such actions. In addition, a possibility for the pollster to gain an unfair advantage in the basic scheme is identified and according checks put forward.

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“…In addition, we examine the effects of parameter publication on the scheme's fairness in Sect. 3. This leads to our proposal of two solutions in Sect.…”

Section: Introductionmentioning

confidence: 80%

Section: Data Collection With Self-enforcing Privacymentioning

confidence: 99%

Towards Fair Indictment for Data Collection with Self-Enforcing Privacy

Stegelmann

2010

Security and Privacy – Silver Linings in the Cloud

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“…(Cox and Miller, 2002). The process of proving the intellectual property rights in a court of law against the unauthorized transformation, reproduction, processing or broadcasting of digital data is known as copyright protection.…”

Section: Introductionmentioning

confidence: 99%

A new approach for scene-based digital video watermarking using discrete wavelet transforms

Shukla¹,

Шарма

2018

Int. j. adv. appl. sci.

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This paper presents a scene based video watermarking technique using discrete wavelet transform in the application of video copyright protection. The proposed technique combines the successive estimation of statistical measure (SESAME) technique with video watermarking. In this proposed technique, first level decomposition using 2D-discrete wavelet transform (DWT) of LL sub-band of the cover video frames is considered for embedding. To reduce the computational time, watermark image is inserted only in the scene change frames. To detect the scene changed frame, successive estimation of the statistical measure and HiBiSLI algorithm based scene change detector is designed, which is the most novel-part of the work. In the case of watermarking, the correlation between successive frames is an ideal measure for identifying scene change. The performance shows overall improvement in the measured value of metrics like mean square error, peak signal to noise ratio, normalized correlation, and structural similarity index and bit error rate for embedding using level 1 decomposition. The proposed system achieves robustness against image processing attacks, geometrical attacks, jpeg compression and different video attacks. Further performance enhancements have achieved by embedding at level-2 decomposition. The empirical result suggests that increasing number of levels can improve the performance of the system. Improvement in the robustness and transparency is calculated in terms of bit error rate, normalized correlation and SSIM. Finally, the results are discussed in light of some recently reported studies and have proven a non-blind, robust and imperceptible watermarking system.

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“…A digital watermark is an imperceptible but identifiable digital signal or mode embedded in the host data, while it does not affect the host data's usability [1]. There are four important rules that should be obeyed in any successful watermarking techniques [2], [3].…”

Section: Introductionmentioning

confidence: 99%

A Blind Watermarking Approach to Protecting Geospatial Data from Piracy

Yan¹,

Li²

2011

IJIET

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Abstract-Vector geospatial data is of great value, due to the cost processes of acquiring such data. Thus, how to protect vector geospatial data from piracy has become a hot issue in the community of geographic information science, and among which watermarking has been proven a feasible tool.This paper proposes a blind watermarking technique for protecting vector geospatial data from illegal use, mainly taking into consideration four rules in watermarking, i.e. usability, invisibility, robustness, and blindness. The technique consists of two processes: a watermark embedding process and a watermarking extracting process. In the watermarking process, the technique firstly determines two feature layers and selects the key points from each layer as watermark embedding positions; then it shuffles the watermark and embeds the watermark in the two layers, respectively. At the beginning of the watermark extracting process, a step similar to that in the watermarking embedding process is carried out to obtain the two feature layers and the key points that have been used for embedding the watermark; then the coordinates of the key points are checked to extract the embedded watermark from the two feature layers, respectively; finally the similarity degree of the two watermarks extracted from two feature layers is calculated, by which the conclusion on whether the data contains the watermark can be made. Our experiments show that the technique can resist the attacks from data format change, random noise, similarity transformation, and data editing. Index Terms-Blind I. INTRODUCTIONWithout doubt, the rise of geographic information industry has greatly improved the value of geospatial data in recent years. Nevertheless, the rapid development of computer communication and Internet techniques make it easy to duplicate and distribute such digital data via networks, which troubles the data owners for protecting the data from free use without their permission (i.e. piracy). For this reason, copyright protection of geospatial data has become a hot issue in the community of geographic information science.Digital watermarking provides a viable solution for this dilemma. A digital watermark is an imperceptible but identifiable digital signal or mode embedded in the host data, • Usability: the embedded watermark should not degrade the quality of the host data, i.e. the watermarked data still can be used.• Invisibility: the watermark should be perceptually invisible to data users to maintain its protective secrecy.• Robustness: the technique must be robust enough to resist common data processing attacks and not be easily removable by illegal users, but only the data owners ought to be able to extract the watermark.• Blindness: the watermark should be blind if it is difficult for the data users to obtain the original data and the original watermark.Have not only the techniques of digital watermarking received a great deal of attention to ensure copyright protection for video, audio, and image data, but also it has been introduce into the...

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The First 50 Years of Electronic Watermarking

Cited by 290 publications

References 46 publications

Towards Fair Indictment for Data Collection with Self-Enforcing Privacy

Towards Fair Indictment for Data Collection with Self-Enforcing Privacy

A new approach for scene-based digital video watermarking using discrete wavelet transforms

A Blind Watermarking Approach to Protecting Geospatial Data from Piracy

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